Overview
The AI hub: predictions, triage, decisions, knowledge and governance.
Overview
Assets AI is statistical and needs no external language model. It covers failure-risk predictions with accuracy tracking, request triage, technician scheduling suggestions, repair-versus-replace, replacement and investment plans, budget forecasts and what-if scenarios, a knowledge base, document extraction, an asset copilot, and data-quality scoring. Every recommendation goes through a governance ledger where it is approved, rejected or applied.
When to use overview
- You want decision support on top of your asset data.
Prerequisites
- Work order and history data; more history gives better results
Step by step
Permissions
These permission keys control access (granted to roles in Administration → Roles & Permissions):
- assets.ai.use
- assets.ai.approve
- assets.knowledge.manage
Automation
- Changes on this screen are written to the asset audit trail and the asset timeline.